Journal article

Breast Cancer Risk Associations with Digital Mammographic Density by Pixel Brightness Threshold and Mammographic System

Tuong L Nguyen, Yoon-Ho Choi, Ye K Aung, Christopher F Evans, Nhut H Trinh, Shuai Li, Gillian S Dite, Myeong-Seong Kim, Patrick C Brennan, Mark A Jenkins, Joohon Sung, Yun-Mi Song, John L Hopper

RADIOLOGY | RADIOLOGICAL SOC NORTH AMERICA | Published : 2018

Abstract

Purpose To compare three mammographic density measures defined by different pixel intensity thresholds as predictors of breast cancer risk for two different digital mammographic systems. Materials and Methods The Korean Breast Cancer Study included 398 women with invasive breast cancer and 737 control participants matched for age at mammography (±1 year), examination date, mammographic system, and menopausal status. Mammographic density was measured by using the automated Laboratory for Individualized Breast Radiodensity Assessment (LIBRA) software and the semiautomated Cumulus software at the conventional threshold (Cumulus) and at increasingly higher thresholds (Altocumulus and Cirrocumulu..

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Grants

Awarded by Ministry of Science, ICT and Future Planning


Awarded by National Health and Medical Research Council


Awarded by National Research Foundation of Korea


Funding Acknowledgements

Study supported by Ministry of Science, ICT and Future Planning (2014R1A2A2A01002705), National Health and Medical Research Council (APP1055807), and National Research Foundation of Korea (2010-0029113, 20110013545). T.L.N. supported by a Post-Graduate Scholarship from the National Health and Medical Research Council and The Richard Lovell Travelling Scholarship, The University of Melbourne. Y.K.A. supported by the Australian Agency for International Development. J.L.H. is an NHMRC Senior Principal Research Fellow and a Distinguished Visiting Professor at Seoul National University. The funding sources had no involvement in conducting this study.